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JOURNALS // Artificial Intelligence and Decision Making // Archive

Artificial Intelligence and Decision Making, 2025 Issue 1, Pages 82–94 (Mi iipr619)

Analysis of textual and graphical information

Automatic lexical adaptation of Russian texts

A. V. Nitsenko, V. Shelepov, S. A. Bolshakova

«Institute of Problems of Artificial intelligence, Donetsk, Russia

Abstract: The article describes a method for lexical simplification of Russian text, using a specially marked base of synonyms and a set of rules, which allows automatic lexical replacement of words and phrases with restoration of the correct syntax and preservation of the text semantics. To form a marked database of synonyms, dictionaries of synonyms that are in the public domain were used. To preserve semantics, an analysis and reduction of synonymous series was carried out, the frequency of members of the synonymous series was analyzed in order to select a dominant, and entries in dictionaries were marked and a mechanism for processing labels was proposed to comply with the syntax rules in a simplified text. A base of production rules has been developed to preserve the correct syntax after lexical adaptation of the text, allowing for the correct replacement of individual words, phrases with one word and phrases with a phrase.

Keywords: natural language processing, automatic text analysis, synonymy, automatic adaptation.

DOI: 10.14357/20718594250107



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© Steklov Math. Inst. of RAS, 2025